Videos

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Overview of classical ML: unsupervised learning and regularized regression Thumbnail

Overview of classical ML: unsupervised learning and regularized regression

Presenter
  • Luca Ghiringhelli
March 11, 2024
IMSI
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization Thumbnail

Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization

Presenter
  • Jelena Diakonikolas
February 29, 2024
IPAM
Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA Thumbnail

Sitan Chen - Provably learning a multi-head attention layer - IPAM at UCLA

Presenter
  • Sitan Chen
February 29, 2024
IPAM
Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees Thumbnail

Abhineet Agarwal - Understanding and overcoming the statistical limitations of decision trees

Presenter
  • Abhineet Agarwal
February 27, 2024
IPAM
Ankur Moitra - Learning from Dynamics - IPAM at UCLA Thumbnail

Ankur Moitra - Learning from Dynamics - IPAM at UCLA

Presenter
  • Ankur Moitra
February 26, 2024
IPAM
Ravi Kumar - Learning-Augmented Online Optimization - IPAM at UCLA Thumbnail

Ravi Kumar - Learning-Augmented Online Optimization - IPAM at UCLA

Presenter
  • Ravi Kumar
February 26, 2024
IPAM
Adel Javanmard - Learning from Aggregate Responses - IPAM at UCLA Thumbnail

Adel Javanmard - Learning from Aggregate Responses - IPAM at UCLA

Presenter
  • Adel Javanmard
February 26, 2024
IPAM
Neuro-Causal Factor Analysis: Structure learning and identifiability Thumbnail

Neuro-Causal Factor Analysis: Structure learning and identifiability

Presenter
  • Alex Markham
October 10, 2023
IMSI
Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML"

Presenter
  • Anders Karlsson
August 30, 2023
SLMath
Cecelia Clementi - Designing molecular models with machine learning and experimental data Thumbnail

Cecelia Clementi - Designing molecular models with machine learning and experimental data

Presenter
  • Cecelia Clementi
January 11, 2023
IPAM
Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA Thumbnail

Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA

Presenter
  • Palina Salanevich
December 2, 2022
IPAM
Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA Thumbnail

Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA

Presenter
  • Elizaveta Rebrova
December 1, 2022
IPAM